Exploring psychological factors of mobile phone use while riding among motorcyclists in Vietnam

Nguyen, Dinh Vinh Man; Ross, Veerle; Vu, Anh Tuan; Brijs, Tom; Wets, Geert; Brijs, Kris

doi:10.1016/j.trf.2020.06.023

Cited by 31 publications

(10 citation statements)

References 57 publications

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“…Multi-group SEM analysis using the locus of control (LC) showed that both internality and externality were behavior-influencing factors [31], in accordance with Rotter [12]. Factor analysis also supported behavioral-leading attitudes, in agreement with Champahom et al [23], Lajunen and Räsänen [24], and Totkova [25].…”

Section: Discussion Of Lcsupporting

confidence: 60%

“…We found that in men, the attitude (health motivation) factor most strongly affected the riding behavior. This finding is supported by Bazargan-Hejazi et al [16] and Nguyen et al [31], who found that attitude had the greatest effect on riding behavior. The next most influential factor was perceived behavior control, in agreement with Xiao [14], Razmara et al [15] and Bazargan-Hejazi et al [16], who both reported the direct and indirect effects of this factor on the theory of planned behavior (TPB).…”

Section: Discussion Of the Tpbsupporting

confidence: 60%

“…Nguyen, et al [31] applied SEM for the analysis of motorcyclists' cellphone attention behavior based on the theory of planned behavior (TPB) in Vietnam, and the results from the SEM analysis showed good fits to the observed data. The SEM analysis also supported the utilization of an extended TPB framework in identifying the factors of mobile phone use with riding intention and behavior.…”

Section: Structural Equation Modeling (Sem)mentioning

confidence: 99%

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Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling

Uttra

Laddawan

Ratanavaraha

et al. 2020

IJERPH

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Road accidents are caused by humans, vehicles, and road environments. Human attitudes affect behavioral changes and can lead to unsafe riding behavior. The sex of an individual is a key factor that affects their riding behavior. We aimed to use structural equation modeling (SEM) by analyzing the multi-group SEM between men and women and applying the theory of planned behavior (TPB) and the locus of control (LC) theory. The data used in the research were collected from all over Thailand, consisting of 1516 motorcycle riders (903 men and 613 women) aged over 20 years. A self-administered questionnaire was designed for data collection of the riding behavior using the Motorcycle Rider Behavior Questionnaire (MRBQ), including traffic errors, control errors, stunt frequency, and safety equipment. We found that riding behaviors between men and women were significantly different in both theories. For men, TPB showed that the main factors that highly influenced motorcycle riding behavior (MRB) were the attitudes based on health motivation (AHM) and perceived behavior control (PC); for women, AHM produced a stronger effect than in men. However, for the subjective norms (SN) factor, we found no direct effect on MRB, but did find an indirect effect through the attitudes based on severity (ASE) in both sexes. Particularly for women, the indirect influence value of the SN factor was higher. For women, the LC showed that internal factors had more influence than external factors. The same was found for men, but the effect in women was significantly stronger. We found that sex significantly affected the MRB. Therefore, policies must be implemented that address each group specifically as their attitudes and behaviors are different.

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Section: Discussion Of Lcsupporting

confidence: 60%

Section: Discussion Of the Tpbsupporting

confidence: 60%

Section: Structural Equation Modeling (Sem)mentioning

confidence: 99%

See 1 more Smart Citation

Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling

Uttra

Laddawan

Ratanavaraha

et al. 2020

IJERPH

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“…Many studies focused on road crashes involving a motorcycle [ 56 ] and increased motorcycle accident fatalities [ 54 , 75 , 157 , 158 , 159 , 160 ], and many reported an upward trend in accident rates [ 15 , 64 , 110 , 116 , 161 , 162 ]. Another studies focus on traffic flow [ 6 , 114 , 150 ] is the nonexistence of efficient road facilities in advancing nations.…”

Section: Discussionmentioning

confidence: 99%

“…Some studies recommended more data collection by using other statistical methods of data collection [ 118 , 119 ] and integrating databases of road geometric and operational attributes and traffic violations [ 160 ]. Data can be obtained by either web- or application-based surveys [ 66 ], by using GPS devices to track actual distances [ 15 ], and by providing more drivers’ information [ 168 ]. Other studies suggested more research on longitudinal data and the use of different data sources, such as experimental data in real-time by using smartphone applications or sensors [ 26 , 60 , 68 , 111 , 114 , 179 , 180 , 181 ].…”

Section: Discussionmentioning

confidence: 99%

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

Abdulwahid

Mahmoud

Zaidan

et al. 2022

IJERPH

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With the continuous emergence of new technologies and the adaptation of smart systems in transportation, motorcyclist driving behaviour plays an important role in the transition towards intelligent transportation systems (ITS). Studying motorcyclist driving behaviour requires accurate models with accurate and complete datasets for better road safety and traffic management. As accuracy is needed in modelling, motorcyclist driving behaviour analyses can be performed using sensors that collect driving behaviour characteristics during real-time experiments. This review article systematically investigates the literature on motorcyclist driving behaviour to present many findings related to the issues, problems, challenges, and research gaps that have existed over the last 10 years (2011–2021). A number of digital databases (i.e., IEEE Xplore®, ScienceDirect, Scopus, and Web of Science) were searched and explored to collect reliable peer-reviewed articles. Out of the 2214 collected articles, only 174 articles formed the final set of articles used in the analysis of the motorcyclist research area. The filtration process consisted of two stages that were implemented on the collected articles. Inclusion criteria were the core of the first stage of the filtration process keeping articles only if they were a study or review written in English or were articles that mainly incorporated the driving style of motorcyclists. The second phase of the filtration process is based on more rules for article inclusion. The criteria of inclusion for the second phase of filtration examined the deployment of motorcyclist driver behaviour characterisation procedures using a real-time-based data acquisition system (DAS) or a questionnaire. The final number of articles was divided into three main groups: reviews (7/174), experimental studies (41/174), and social studies-based articles (126/174). This taxonomy of the literature was developed to group the literature into articles with similar types of experimental conditions. Recommendation topics are also presented to enable and enhance the pace of the development in this research area. Research gaps are presented by implementing a substantial analysis of the previously proposed methodologies. The analysis mainly identified the gaps in the development of data acquisition systems, model accuracy, and data types incorporated in the proposed models. Finally, research directions towards ITS are provided by exploring key topics necessary in the advancement of this research area.

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An Application of the Theory of Planned Behavior to Study Red-Light Running Behavior of Adolescent Riders in Ho Chi Minh City, Vietnam

Duong,

Chu,

Huynh

2023

Lecture Notes in Civil Engineering

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Exploring psychological factors of mobile phone use while riding among motorcyclists in Vietnam

Cited by 31 publications

References 57 publications

Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling

Explaining Sex Differences in Motorcyclist Riding Behavior: An Application of Multi-Group Structural Equation Modeling

A Comprehensive Review on the Behaviour of Motorcyclists: Motivations, Issues, Challenges, Substantial Analysis and Recommendations

An Application of the Theory of Planned Behavior to Study Red-Light Running Behavior of Adolescent Riders in Ho Chi Minh City, Vietnam

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